Your browser doesn't support javascript.
loading
Deep Learning Models for Segmenting Non-perfusion Area of Color Fundus Photographs in Patients With Branch Retinal Vein Occlusion.
Miao, Jinxin; Yu, Jiale; Zou, Wenjun; Su, Na; Peng, Zongyi; Wu, Xinjing; Huang, Junlong; Fang, Yuan; Yuan, Songtao; Xie, Ping; Huang, Kun; Chen, Qiang; Hu, Zizhong; Liu, Qinghuai.
Afiliación
  • Miao J; Department of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Yu J; School of Computer Science and Engineering, Nanjing University of Science & Technology, Nanjing, China.
  • Zou W; Department of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Su N; Department of Ophthalmology, The Affiliated Wuxi No.2 People's Hospital of Nanjing Medical University, Wuxi, China.
  • Peng Z; Department of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Wu X; The First School of Clinical Medicine, Nanjing Medical University, Nanjing, China.
  • Huang J; Department of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Fang Y; Department of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Yuan S; Department of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Xie P; Department of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Huang K; Department of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Chen Q; School of Computer Science and Engineering, Nanjing University of Science & Technology, Nanjing, China.
  • Hu Z; School of Computer Science and Engineering, Nanjing University of Science & Technology, Nanjing, China.
  • Liu Q; Department of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Front Med (Lausanne) ; 9: 794045, 2022.
Article en En | MEDLINE | ID: mdl-35847781
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Med (Lausanne) Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Med (Lausanne) Año: 2022 Tipo del documento: Article País de afiliación: China